Metadata-Version: 2.1
Name: bfbrain
Version: 1.0
Summary: Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
License: MIT
Author: George Wojcik
Author-email: gwojcik@wisc.edu
Requires-Python: >=3.9,<3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: jax (>=0.4.14,<0.5.0)
Requires-Dist: jaxopt (>=0.8,<0.9)
Requires-Dist: matplotlib (>=3.8.0,<4.0.0)
Requires-Dist: numpy (>=1.26.0,<2.0.0)
Requires-Dist: scipy (>=1.11.2,<2.0.0)
Requires-Dist: sympy (>=1.12,<2.0)
Requires-Dist: tensorflow (>=2.13.0,<3.0.0)
Description-Content-Type: text/markdown

# BFBrain

[Installation](#installation) | [Documentation/Tutorial](https://bfbrain.github.io) | [Examples](https://github.com/Gwojci03/BFBrain/tree/main/examples)

Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.

## Installation

Note that it is highly recommended that BFBrain only be run on a machine with Tensorflow and Jax both installed with full GPU support. Once these installations are completed, install BFBrain with the command:

```bash
$ pip install bfbrain
```


## License

`BFBrain` was created by George Wojcik. It is licensed under the terms
of the MIT license.


